Enter opens the highlighted result. Esc closes.

Claude Fable 5.2 vs Qwen3.6 27B

Claude Fable 5.2 leads Qwen3.6 27B on coding, 87.8 to 36.8 on the Vibe Coding Index, and Qwen3.6 27B costs 14.8x less per output token ($2.70 vs $40.00 per million). Updated November 14, 2026; 13 benchmarks have a result for both.

Claude Fable 5.2Anthropic
Coding
87.8
Overall
91.7
Output $/M
$40.00
13
Qwen3.6 27BQwen
Coding
36.8
Overall
50.2
Output $/M
$2.70
0
vs boards won of 13 shared

Claude Fable 5.2 or Qwen3.6 27B: which to pick

Pick Claude Fable 5.2 for coding: it scores 87.8 on the Vibe Coding Index against 36.8 for Qwen3.6 27B.

Pick Qwen3.6 27B for output tokens 14.8x cheaper ($2.70 vs $40.00 per million).

Shared results
13
Claude Fable 5.2 only
55
Qwen3.6 27B only
12
Like-for-like categories
5 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Claude Fable 5.2 87.8 from 4 benchmarks, Qwen3.6 27B 36.8 from 2 benchmarks.
Widest category
Coding, 56.1 points apart on average over 3 shared benchmarks.
Widest single gap
Mystery game puzzles: Claude Fable 5.2 90.0% against Qwen3.6 27B 7.0%, 83.0 points apart on a 0 to 100 scale.
Output price
Claude Fable 5.2 $40.00 against Qwen3.6 27B $2.70 per million output tokens, 14.8x apart.
Context window
Claude Fable 5.2 takes 1M tokens, Qwen3.6 27B 262K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryClaude Fable 5.2BarsQwen3.6 27BTies
Coding30
Intelligence10
Reasoning30
Math20
General40
All shared boards130
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for Claude Fable 5.2 and Qwen3.6 27B
BenchmarkClaude Fable 5.2Qwen3.6 27BLeader
LiveBench coding79.2%Not measuredOnly Claude Fable 5.2 measured
LMArena WebDev1838Not measuredOnly Claude Fable 5.2 measured
AA Coding IndexNot measured53.7Only Qwen3.6 27B measured
SWE-bench Verified (Vals AI)Not measured70.0%Only Qwen3.6 27B measured
Terminal-Bench 4 (Vals AI)65.2%Not measuredOnly Claude Fable 5.2 measured
Vibe Code Bench (Vals AI)93.8%11.9%Claude Fable 5.2
ProgramBench (Vals AI)19.0%Not measuredOnly Claude Fable 5.2 measured
SWE-bench Multimodal (Vals AI)62.3%Not measuredOnly Claude Fable 5.2 measured
SciCode67.7%42.8%Claude Fable 5.2
Terminal-Bench Hard (Artificial Analysis run)Not measured34.8%Only Qwen3.6 27B measured
Terminal-Bench 4.0 (Artificial Analysis run)61.6%0.0%Claude Fable 5.2
FrontierCode 2.049.1%Not measuredOnly Claude Fable 5.2 measured
FrontierSWE69.9%Not measuredOnly Claude Fable 5.2 measured
ALE-Bench2509.8Not measuredOnly Claude Fable 5.2 measured
LMArena WebDev: React1915Not measuredOnly Claude Fable 5.2 measured
LMArena WebDev: HTML1738Not measuredOnly Claude Fable 5.2 measured
GameBench 299.1Not measuredOnly Claude Fable 5.2 measured
CursorBench 4.060.0%Not measuredOnly Claude Fable 5.2 measured
Neither model has a result on the other 34 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Fable 5.2 and Qwen3.6 27B
BenchmarkClaude Fable 5.2Qwen3.6 27BLeader
AA Intelligence Index64.6Not measuredOnly Claude Fable 5.2 measured
Epoch Capabilities Index173.4146.7Claude Fable 5.2
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index17 boards, none shared
Agentic work benchmarks for Claude Fable 5.2 and Qwen3.6 27B
BenchmarkClaude Fable 5.2Qwen3.6 27BLeader
AA Agentic IndexNot measured18.5Only Qwen3.6 27B measured
Design Arena: agents building full-stack apps1402Not measuredOnly Claude Fable 5.2 measured
Design Arena: agents building mobile apps1325Not measuredOnly Claude Fable 5.2 measured
Design Arena: spreadsheets1434Not measuredOnly Claude Fable 5.2 measured
LiveBench research94.5%Not measuredOnly Claude Fable 5.2 measured
LiveBench browser86.9%Not measuredOnly Claude Fable 5.2 measured
LiveBench long agentic82.9%Not measuredOnly Claude Fable 5.2 measured
Tax Agent Bench (Vals AI)32.1%Not measuredOnly Claude Fable 5.2 measured
Legal Research Bench (Vals AI)46.1%Not measuredOnly Claude Fable 5.2 measured
Harvey's Legal Agent Benchmark (Vals AI)5.0%Not measuredOnly Claude Fable 5.2 measured
BioMysteryBench (Vals AI)83.7%Not measuredOnly Claude Fable 5.2 measured
Terminal-Bench-Science (Vals AI)55.7%Not measuredOnly Claude Fable 5.2 measured
Vals Science Index63.7%Not measuredOnly Claude Fable 5.2 measured
τ²-Bench TelecomNot measured94.2%Only Qwen3.6 27B measured
APEX-Agents80.1%Not measuredOnly Claude Fable 5.2 measured
Remote Labor Index41.3%Not measuredOnly Claude Fable 5.2 measured
SpireClimb15.5%Not measuredOnly Claude Fable 5.2 measured
Neither model has a result on the other 27 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for Claude Fable 5.2 and Qwen3.6 27B
BenchmarkClaude Fable 5.2Qwen3.6 27BLeader
LiveBench reasoning88.8%Not measuredOnly Claude Fable 5.2 measured
MysteryMechanism (Vals AI)51.8%Not measuredOnly Claude Fable 5.2 measured
GPQA Diamond (Artificial Analysis run)Not measured84.2%Only Qwen3.6 27B measured
Humanity's Last Exam (Artificial Analysis run)74.3%23.1%Claude Fable 5.2
HLE-Diamond (Artificial Analysis run)80.2%Not measuredOnly Claude Fable 5.2 measured
CritPt v2, hard subset (Artificial Analysis run)76.5%Not measuredOnly Claude Fable 5.2 measured
GPQA Diamond (Epoch AI run)93.9%85.9%Claude Fable 5.2
ARC-AGI98.5%Not measuredOnly Claude Fable 5.2 measured
ARC-AGI-293.8%Not measuredOnly Claude Fable 5.2 measured
SimpleBench94.9%Not measuredOnly Claude Fable 5.2 measured
Chess puzzles79.0%Not measuredOnly Claude Fable 5.2 measured
Mystery game puzzles90.0%7.0%Claude Fable 5.2
EBR-bench90.5%Not measuredOnly Claude Fable 5.2 measured
Humanity's Last Exam (Scale run)72.4%Not measuredOnly Claude Fable 5.2 measured
GoBench2566Not measuredOnly Claude Fable 5.2 measured
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Claude Fable 5.2 and Qwen3.6 27B
BenchmarkClaude Fable 5.2Qwen3.6 27BLeader
OTIS Mock AIME99.7%91.1%Claude Fable 5.2
FrontierMath, tiers 1 to 395.1%35.1%Claude Fable 5.2
FrontierMath, tier 4100.0%Not measuredOnly Claude Fable 5.2 measured
ProofBench100.0%Not measuredOnly Claude Fable 5.2 measured
MathArena82.8%Not measuredOnly Claude Fable 5.2 measured
Neither model has a result on the other 9 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Knowledge benchmarks for Claude Fable 5.2 and Qwen3.6 27B
BenchmarkClaude Fable 5.2Qwen3.6 27BLeader
CaseLaw (Vals AI)Not measured53.2%Only Qwen3.6 27B measured
CorpFin (Vals AI)Not measured62.3%Only Qwen3.6 27B measured
TaxEval (Vals AI)Not measured71.3%Only Qwen3.6 27B measured
MortgageTax (Vals AI)Not measured68.3%Only Qwen3.6 27B measured
AA-Omniscience66.8Not measuredOnly Claude Fable 5.2 measured
SimpleQA Verified94.0%Not measuredOnly Claude Fable 5.2 measured
PRBench Finance47.1%Not measuredOnly Claude Fable 5.2 measured
PRBench Legal49.0%Not measuredOnly Claude Fable 5.2 measured
Neither model has a result on the other 13 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for Claude Fable 5.2 and Qwen3.6 27B
BenchmarkClaude Fable 5.2Qwen3.6 27BLeader
Design Arena: websites1351Not measuredOnly Claude Fable 5.2 measured
Design Arena: UI components1371Not measuredOnly Claude Fable 5.2 measured
Design Arena: game dev1396Not measuredOnly Claude Fable 5.2 measured
Design Arena: 3D1517Not measuredOnly Claude Fable 5.2 measured
Design Arena: all code categories1373Not measuredOnly Claude Fable 5.2 measured
LiveBench design85.1%Not measuredOnly Claude Fable 5.2 measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index40
General benchmarks for Claude Fable 5.2 and Qwen3.6 27B
BenchmarkClaude Fable 5.2Qwen3.6 27BLeader
Vals Index71.3%Not measuredOnly Claude Fable 5.2 measured
LiveBench data analysis81.5%Not measuredOnly Claude Fable 5.2 measured
IFBenchNot measured67.6%Only Qwen3.6 27B measured
Long context reasoning (AA-LCR)83.3%77.3%Claude Fable 5.2
GDPval-AA1831993Claude Fable 5.2
DTBench99.2%78.1%Claude Fable 5.2
LMCA70.6%34.5%Claude Fable 5.2
Furniture assembly90.0%Not measuredOnly Claude Fable 5.2 measured
EQ-Bench 4Not measured1015Only Qwen3.6 27B measured
Neither model has a result on the other 40 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Fable 5.2 and Qwen3.6 27B
BenchmarkClaude Fable 5.2Qwen3.6 27BLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Claude Fable 5.2$0.028Fits in one request
Qwen3.6 27B$0.0018Fits in one request

Qwen3.6 27B costs less

Repository review

50K input + 3K output tokens

Claude Fable 5.2$0.520Fits in one request
Qwen3.6 27B$0.031Fits in one request

Qwen3.6 27B costs less

Agent loop

200K input + 10K output tokens

Claude Fable 5.2$2.00Fits in one request
Qwen3.6 27B$0.117Fits in one request

Qwen3.6 27B costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Claude Fable 5.2 and Qwen3.6 27B
SpecificationAnthropic Claude Fable 5.2Qwen3.6 27B
MakerAnthropicQwen
WeightsNo public weights listedOpen weights
ReleasedNovember 9, 2026April 27, 2026
Context window1M262K
Input $/Mtok$8.00$0.45
Output $/Mtok$40.00$2.70
Coding index87.836.8
Independent measurements behind it42
Cost per solved taskNot computable$1.30
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Fable 5.2 better than Qwen3.6 27B for coding?

Pick Claude Fable 5.2 for coding: it scores 87.8 on the Vibe Coding Index against 36.8 for Qwen3.6 27B. Pick Qwen3.6 27B for output tokens 14.8x cheaper ($2.70 vs $40.00 per million).

Which is cheaper, Claude Fable 5.2 or Qwen3.6 27B?

Claude Fable 5.2 costs $8.00 per million input tokens and $40.00 per million output tokens; Qwen3.6 27B costs $0.45 and $2.70. Cost per solved task is known for Qwen3.6 27B only.

Which has the bigger context window, Claude Fable 5.2 or Qwen3.6 27B?

Claude Fable 5.2, with 1M tokens against 262K.

How many benchmarks is the Claude Fable 5.2 vs Qwen3.6 27B comparison based on?

13 benchmarks have a result for both models as of November 14, 2026. Claude Fable 5.2's coding index rests on 4 independent benchmarks and Qwen3.6 27B's on 2. Where only one model has a result, the page says so instead of naming a winner.

Compare next

Embed this comparison on your site

Free under CC BY 4.0, while the source link stays visible. Preview the frame · Terms and other embeds

<iframe src="https://llmbenchmark.ai/embed/compare/claude-fable-5-2-vs-qwen3-6-27b" title="Claude Fable 5.2 vs Qwen3.6 27B, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/claude-fable-5-2-vs-qwen3-6-27b">LLMBenchmark.ai, Claude Fable 5.2 vs Qwen3.6 27B</a></p>